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» Dimensionality Reduction for Text using Domain Knowledge
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IRAL
2003
ACM
14 years 29 days ago
Text categorization using automatically acquired domain ontology
In this paper, we describe ontology-based text categorization in which the domain ontologies are automatically acquired through morphological rules and statistical methods. The on...
Shih-Hung Wu, Tzong-Han Tsai, Wen-Lian Hsu
AUSAI
2008
Springer
13 years 9 months ago
Cross-Domain Knowledge Transfer Using Semi-supervised Classification
Traditional text classification algorithms are based on a basic assumption: the training and test data should hold the same distribution. However, this identical distribution assum...
Yi Zhen, Chunping Li
FLAIRS
2000
13 years 9 months ago
Domain-Specific Knowledge Acquisition and Classification Using WordNet
For manyknowledgeintensive applications, it is necessary to have extensive domain-specific knowledgein addition to general-purpose knowledge bases usually built around MachineRead...
Dan I. Moldovan, Roxana Girju
FLAIRS
2009
13 years 5 months ago
Improving Biomedical Document Retrieval by Mining Domain Knowledge
When research articles introduce new findings or concepts they typically relate them only to knowledge and domain concepts of immediate relevance. However, many domain concepts re...
Shuguang Wang, Milos Hauskrecht
ICDE
2007
IEEE
211views Database» more  ICDE 2007»
14 years 2 months ago
Document Representation and Dimension Reduction for Text Clustering
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
M. Mahdi Shafiei, Singer Wang, Roger Zhang, Evange...